Difference between revisions of "Tensor product of vector spaces"

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Currently in the notes stage, see [[Notes:Tensor product]]
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{{Stub page|grade=A*|msg=Demote once more of it is finished!}}
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: {{strike|Currently in the notes stage, see [[Notes:Tensor product]]}}
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__TOC__
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: {{Note|Any first-time readers should look at the [[#Abstract definition|abstract definition]] first}}
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==Definition==
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Let {{M|\mathbb{F} }} be a [[field]] and let {{M|\big((V_i,\mathbb{F})\big)_{i\eq 1}^k}} be a family of [[vector spaces]] over {{M|\mathbb{F} }}. Let {{M|\mathcal{F}(V_1\times\cdots\times V_k)}} denote the [[free vector space]] on {{M|\prod_{i\eq 1}^kV_k}}. We define the (abstract) ''tensor product'' of {{M|V_1,\ldots,V_k}} as{{rITSMJML}}:
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* {{M|V_1\otimes\cdots\otimes V_k:\eq\dfrac{\mathcal{F}(V_1\times\cdots\times V_k)}{\mathcal{R} } }}<!--
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NOTE ABOUT THE SIZE OF F(V_1X...XV_k)
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--><ref group="Note">Take a moment to respect just how vast the space {{M|\mathcal{F}(V_1\times\cdots\times V_k)}} is (especially if {{M|\mathbb{F}:\eq\mathbb{R} }} for example). Remember that this is ''not'' the space {{M|V_1\times\cdots\times V_k}} even though we write them as [[tuples]]. It is a ''huge'' space.
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* {{XXX|Flesh out this note}}</ref><!--
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END OF SIZEOF F(V_1X...XV_k) NOTE
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--> where {{M|\mathcal{R} }} is defined as follows:
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** {{M|\mathcal{R} }} denotes the {{link|span|vector space}} of all the union of the following two [[sets]]:
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**# {{M|\big\{ (v_1,\ldots,v_{i-1},av_i,v_{i+1},\ldots,v_k)-a(v_1,\ldots,v_k)\ \big\vert\ i\in\{1,\ldots,k\}\wedge a\in\mathbb{F}\wedge\forall j\in\{1,\ldots,k\}[v_j\in V_j]\big\} }}
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**# {{M|\big\{(v_1,\ldots,v_{i-1},v_i+v'_i,v_{i+1},\ldots,v_k)-(v_1,\ldots,v_k)-(v_1,\ldots,v_{i-1},v'_i,v_{i+1},\ldots,v_k)\ \big\vert\ i\in\{1,\ldots,k\}\wedge v'_i\in V_i\wedge\forall j\in\{1,\ldots,k\}[v_j\in V_j]\big\} }}
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==Abstract definition==
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==[[Characteristic property of the tensor product|Characteristic property]]==
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{{:Characteristic property of the tensor product/Statement}}
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==Notes==
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<references group="Note"/>
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==References==
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<references/>
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{{Definition|Linear Algebra|Abstract Algebra}}

Revision as of 23:53, 3 December 2016

Stub grade: A*
This page is a stub
This page is a stub, so it contains little or minimal information and is on a to-do list for being expanded.The message provided is:
Demote once more of it is finished!
Currently in the notes stage, see Notes:Tensor product
Any first-time readers should look at the abstract definition first

Definition

Let F be a field and let ((Vi,F))ki=1 be a family of vector spaces over F. Let F(V1××Vk) denote the free vector space on ki=1Vk. We define the (abstract) tensor product of V1,,Vk as[1]:

  • V1Vk:=F(V1××Vk)R[Note 1] where R is defined as follows:
    • R denotes the span of all the union of the following two sets:
      1. {(v1,,vi1,avi,vi+1,,vk)a(v1,,vk) | i{1,,k}aFj{1,,k}[vjVj]}
      2. {(v1,,vi1,vi+vi,vi+1,,vk)(v1,,vk)(v1,,vi1,vi,vi+1,,vk) | i{1,,k}viVij{1,,k}[vjVj]}

Abstract definition

Characteristic property

Diagram of the situation, the double-arrows is multilinear, the other is linear
Let F be a field and let ((Vi,F))ki=1 be a family of finite dimensional vector spaces over F. Let (W,F) be another vector space over F. Then[1]:
  • If A:V1××VkW is any multilinear map
    • there exists a unique linear map, ¯A:V1VkX such that:
      • ¯Ap=A (that is: the diagram on the right commutes)

Where p:V1××VkV1Vk by p:(v1,,vk)v1vk (and is p is multilinear)

Notes

  1. Jump up Take a moment to respect just how vast the space F(V1××Vk) is (especially if F:=R for example). Remember that this is not the space V1××Vk even though we write them as tuples. It is a huge space.
    • TODO: Flesh out this note

References

  1. Jump up to: 1.0 1.1 Introduction to Smooth Manifolds - John M. Lee